Doktorat iz elektrotehniških znanosti (Univerza v Ljubljani, Fakulteta za elektrotehniko)

Mladi raziskovalec v Laboratoriju za slikovne tehnologije (Univerza v Ljubljani, Fakulteta za elektrotehniko)

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin: Practical priors for Bayesian inference of latent biomarkers. IEEE Journal of Biomedical and Health Informatics, 24(2):396-406, 2020 [doi:10.1109/JBHI.2019.2945077 ] [COBISS-ID:12721492 ]

Hennadii Madan, Franjo Pernuš, Žiga Špiclin: Reference-free error estimation for multiple measurement methods. Statistical Methods in Medical Research, 28(7):2196-2209, 2018 [doi:10.1177/0962280217754231 ] [COBISS-ID:11948116 ]

Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. International Journal of Computer Assisted Radiology and Surgery, 12(2):263-275, 2017 [doi:10.1007/s11548-016-1482-4 ] [COBISS-ID:11592532 ]

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin: Predicting nucleus basalis of Meynert volume from compartmental brain segmentations. 1st International Workshop on Predictive Intelligence in Medical Imaging - PRIME 2018, held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, Sep 16, Granada, Spain (I. Rekik et al., Eds.), Lecture Notes in Computer Science 11121:68-75, 2018 [doi:10.1007/978-3-030-00320-3_9 ] [COBISS-ID:12236116 ]

Hennadii Madan, Franjo Pernuš, Žiga Špiclin: Benchmarking quantitative imaging biomarker measurement methods without a gold standard. 20th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, Sep 10-14, Québec City, Canada (M. Descoteaux et al., Eds.), Lecture Notes in Computer Science 10434:763-771, 2017 [doi:10.1007/978-3-319-66185-8_86 ] [COBISS-ID:11879252 ]